Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

100
Duration
19s
Input Tokens
1559
Output Tokens
205
Cost
$0.00
Context
Input
The user has replied: "Three days before is fine."  According to the plan for the yearly company-dinner task, what is the next action?
Expected output
Call email.search_emails with a query such as "yearly company dinner" (optionally including the current year) to locate the relevant email(s) containing the event details, and store the returned email_id(s) for the subsequent email.read_email step.
Model output
Reasoning: The task requires inserting an event for the yearly company dinner into the user's calendar and setting a reminder based on the user's preferences. The user specified they want a reminder three days before the event. According to the context, the next step is to find the date of the company dinner. Since the context mentions an email containing details about the dinner, the first action is to search through the user's emails to find the relevant information about the dinner date. Once the date is extracted, I will proceed to add this event to the user's calendar and set the reminder three days in advance as per the user's request.

Response: Proceed by using the 'search_emails' action with a query related to the company dinner to locate the email containing the dinner date details. Once found, I will extract the date and then use the 'create_event' action to add it to the calendar with a reminder set for three days before the event.